The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Assessment across the United States of the Benefits of Altered Soybean Drought Traits
Abstract
A number of plant traits have been suggested to ameliorate the effects of water deficits on crop yield. A quantitative response across a range of years and location is needed because many traits that could be beneficial in dry years might also be detrimental in wet years. This analysis was undertaken using a robust simulation model of soybean [Glycine max (L.) Merr.] development and growth to quantify yield changes as a result of modification of five traits: rooting depth extension, rate of leaf area development, decreased stomata conductance at high soil water content, reduced maximum transpiration rate, and drought‐tolerant nitrogen fixation. Simulations were done for 50 yr of weather data for 2655 grid locations of 30 km by 30 km size in the United States. Slow rate of rooting development was a neutral or negative trait in most locations. Slow leaf area development proved beneficial in less than half the years and in wetter years it resulted in yield losses. Water conservation both by early decrease in stomata conductance with soil drying and by reducing the maximum transpiration rate resulted in yield increases in many locations in 70% or more of the years. Both traits resulted in only small yield decreases in the wet years. Drought‐tolerant nitrogen fixation had the greatest benefit of all traits with a yield gain in more than 85% of the years at nearly all locations, and in those cases with no yield increase there was only a very small yield loss.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The DSSAT cropping system model
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00107-7 · Cited by 4,465
Cited by
Nitrogen and water resources commonly limit crop yield increases, not necessarily plant genetics
Sinclair, T. R., & Rufty, T. W. (2012) · Global Food Security · doi:10.1016/j.gfs.2012.07.001 · Cited by 344
Self-citationPrognosis for genetic improvement of yield potential and water-limited yield of major grain crops
Hall, A. J., & Richards, R. A. (2013) · Field Crops Research · doi:10.1016/j.fcr.2012.05.014 · Cited by 295
Messina, C. D., Podlich, D., Dong, Z., Samples, M., & Cooper, M. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/erq329 · Cited by 233
Self-citationGaffney, J., Schussler, J., Löffler, C., Cai, W., Paszkiewicz, S., Messina, C., Groeteke, J., Keaschall, J., & Cooper, M. (2015) · Crop Science · doi:10.2135/cropsci2014.09.0654 · Cited by 193
Self-citationIs transpiration efficiency a viable plant trait in breeding for crop improvement?
Sinclair, T. R. (2012) · Functional Plant Biology · doi:10.1071/fp11198 · Cited by 130
Self-citation
Metadata
- Authors
- Sinclair, T. R., Messina, C. D., Beatty, A., & Samples, M.
- Venue
- Agronomy Journal
- Publisher
- Wiley
- Published
- 2010-03
- Volume
- 102
- Issue
- 2
- Pages
- 475-482
- ISSN
- 0002-1962 (ISSN-L)
- 1435-0645
- OpenAlex
- W2034611753
- Cited by
- 294
- References
- 1
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessment across the United States of the Benefits of Altered Soybean Drought Traits. https://app.cochat.ai/papers/10.2134/agronj2009.0195
- The paper
- Sinclair, T. R., Messina, C. D., Beatty, A., & Samples, M. (2010). Assessment across the United States of the Benefits of Altered Soybean Drought Traits. Agronomy Journal. https://doi.org/10.2134/agronj2009.0195
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.